What the User (Doesn't) Say
summary
A team built a shared research repository in Notion that links three databases (experiments, facts, insights) with rollups, uses the Atomic UX Research model to break notes into small units, and moves those units through a Miro affinity matrix. Two researchers run one interview per week, involve product managers and CSMs as note‑takers, and push validated insights into the backlog; an attempted Slack crowdsourcing bot had mixed adoption but the system reduces data loss and speeds design decisions.
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chapters (14)
- 0:00User research context
- 3:56Democratization scalability
- 5:07Initial research problems
- 7:17Centralizing research
- 9:40Deep user needs
- 11:25Continuous Discovery adoption
- 14:38Team involvement
- 17:28Atomic Research insights
- 21:24Tagging evidence
- 23:13Automating Miro analysis
- 25:07Sharing insights
- 26:34Extending research
- 29:44Learning from mistakes
- 31:12Q&A
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